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Travelled to:
1 × China
1 × France
1 × Italy
1 × United Kingdom
2 × USA
Collaborated with:
J.Park A.Sampson L.Ceze D.Burger D.Mahajan B.Thwaites X.Zhang M.Naik W.Harris T.Cao X.Yang S.M.Blackburn K.S.McKinley Emmanuel Amaro Fatemehsadat Mireshghallah Mohammadkazem Taram Prakash Ramrakhyani A.Jalali D.M.Tullsen T.Moreau M.Wyse J.Nelson M.Oskin B.Robatmili D.Li M.S.S.Govindan A.Smith A.Putnam S.W.Keckler A.Yazdanbakhsh A.Nagendrakumar S.Sethuraman K.Ramkrishnan N.Ravindran R.Jariwala A.Rahimi K.Bazargan
Talks about:
approxim (5) support (3) languag (3) architectur (2) program (2) hardwar (2) comput (2) crowdsourc (1) implement (1) distribut (1)

Person: Hadi Esmaeilzadeh

DBLP DBLP: Esmaeilzadeh:Hadi

Contributed to:

DATE 20152015
ESEC/FSE 20152015
HPCA 20152015
HPCA 20132013
ASPLOS 20122012
ASPLOS 20112011
ASPLOS 20162016
ASPLOS 20202020

Wrote 8 papers:

DATE-2015-YazdanbakhshMTP #approximate #design #hardware #named
Axilog: language support for approximate hardware design (AY, DM, BT, JP, AN, SS, KR, NR, RJ, AR, HE, KB), pp. 812–817.
ESEC-FSE-2015-ParkEZNH #approximate #composition #named #programming
FlexJava: language support for safe and modular approximate programming (JP, HE, XZ, MN, WH), pp. 745–757.
HPCA-2015-MoreauWNSECO #approximate #named #programmable
SNNAP: Approximate computing on programmable SoCs via neural acceleration (TM, MW, JN, AS, HE, LC, MO), pp. 603–614.
HPCA-2013-RobatmiliLEGSPBK #architecture #effectiveness #how #manycore #predict
How to implement effective prediction and forwarding for fusable dynamic multicore architectures (BR, DL, HE, MSSG, AS, AP, DB, SWK), pp. 460–471.
ASPLOS-2012-EsmaeilzadehSCB #approximate #architecture #programming
Architecture support for disciplined approximate programming (HE, AS, LC, DB), pp. 301–312.
ASPLOS-2011-EsmaeilzadehCXBM #hardware #performance #roadmap #scalability
Looking back on the language and hardware revolutions: measured power, performance, and scaling (HE, TC, XY, SMB, KSM), pp. 319–332.
ASPLOS-2016-ParkAMTE #approximate #crowdsourcing #named #quality #towards
AxGames: Towards Crowdsourcing Quality Target Determination in Approximate Computing (JP, EA, DM, BT, HE), pp. 623–636.
ASPLOS-2020-MireshghallahTR #learning #named #privacy
Shredder: Learning Noise Distributions to Protect Inference Privacy (FM, MT, PR, AJ, DMT, HE), pp. 3–18.

Bibliography of Software Language Engineering in Generated Hypertext (BibSLEIGH) is created and maintained by Dr. Vadim Zaytsev.
Hosted as a part of SLEBOK on GitHub.